Glycoproteomic analysis of erythrocytes and PBMCs

The healthcare system relies heavily on blood and blood products for a large variety of life-saving treatments. However, blood products are perishable and have short shelf lives. Given the continuous demand for these products, this issue must be addressed. As blood is stored, the profile of cell surface sugars, known as glycans, has been shown […]

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Enhancing Digital Marketing and Business Intelligence for Hyspecs Eyewear – Part II

This project will enhance Hyspecs’ digital marketing and e-commerce operations through four key initiatives: streamlining the migration to a new email marketing platform with automated flows to better engage customers; creating a strategic sales and media calendar to align campaigns across channels; scaling up paid advertising using data-driven insights to boost performance and reach; and […]

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Fraud Detection in Financial Graphs

A significant amount of fraudulent activity tends to go unreported in reality, one of the major focuses for our team recently has been to develop robust GNNs that can perform anomaly detection on noisily labeled graphs. Noisily labeled anomalous data can reduce the model performance as it learns incorrect patterns during training, cause the model […]

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Development and Characterization of Zr-Doped Multifunctional High-Entropy Alloy Coatings

This project aims to develop multifunctional high-entropy alloy (HEA) coatings that protect industrial components from multiple types of damage at the same time, including erosion, corrosion, and hydrogen attack. Using laser-directed energy deposition (L-DED), the research will study how adding zirconium to AlCoCr2FeMo0.5Ni –Zrx changes the coating’s microstructure and improves its performance for real industrial […]

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NouLife: Synthesis of Linked Conjugates

In 2023, Innovotech acquired a 60% interest in NouLife Sciences Inc., a company that developed the intellectual property for the linking of two antioxidant molecules commonly used in skin care products – alpha lipoic acid and acetyl-L-carnitine – into one molecule. The linking of the two molecules has been indicated by NouLife to increase the […]

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Harvesting hot carriers in heterojunctions of p-type semiconductors and plasmonic nanoparticles for green hydrogen production and utilization

This project aims to pursue alternate methods to generate green hydrogen that are less energy-intensive than existing approaches. Leveraging the fact that semiconductors generate electron-hole pairs when illuminated with light and this electron reduces proton (H+) from water to form hydrogen (H2), our goal is to use novel p-type semiconductors to produce green hydrogen, that […]

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Biological evaluation of a novel 1,4-diazine scaffold as potential neuraminidase inhibitors for anticancer and antimicrobial strategies

Development of novel pharmaceutical agents typically starts from an initial “hit” compound. These initial hits are then optimized using chemical synthesis and then tested for activity. Many active agents are designed based on known starting compounds. These previously identified compounds serve as a starting scaffold on which to make modifications that will improve activity. In […]

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From Agents to Teams: Optimizing the Creation of LLM-based Multi-Agent Systems

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]

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Adaptive OCR for Structured Data Extraction in Technical PDF Documents

The proposed research project aims to digitize information currently locked in image-only PDF files, which are common in government and engineering sectors but are difficult to search and analyze. These documents, which often include technical drawings, forms, and reports, cause inefficiencies and errors due to the need for manual review. To address this, the project […]

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Physics-Informed Deep Learning Models for Radio Wave Propagation

This project brings together researchers from University College Dublin (Ireland) and the University of Alberta (Canada) to develop smarter ways of modeling radio wave propagation in railway environments. These models help improve wireless communication systems used in train and subway services. The project uses a combination of physics and artificial intelligence (AI), allowing faster and […]

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